Multi-sensor assisted maximum power exposure (mpe) operations for millimeter wave (mmw) communications

ABSTRACT

Disclosed are techniques for wireless sensing. In an aspect, a user equipment (UE) detects an object and a direction to the object in an environment of the UE, determines whether the object is a human, identifies, based on the object being the human, a sensitive body part of the human, and performs, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

BACKGROUND OF THE DISCLOSURE 1. Field of the Disclosure

Aspects of the disclosure relate generally to wireless

2. Description of the Related Art

Wireless communication systems have developed through various generations, including a first-generation analog wireless phone service (1G), a second-generation (2G) digital wireless phone service (including interim 2.5G and 2.75G networks), a third-generation (3G) high speed data, Internet-capable wireless service and a fourth-generation (4G) service (e.g., Long Term Evolution (LTE) or WiMax). There are presently many different types of wireless communication systems in use, including cellular and personal communications service (PCS) systems. Examples of known cellular systems include the cellular analog advanced mobile phone system (AMPS), and digital cellular systems based on code division multiple access (CDMA), frequency division multiple access (FDMA), time division multiple access (TDMA), the Global System for Mobile communications (GSM), etc.

A fifth generation (5G) wireless standard, referred to as New Radio (NR), enables higher data transfer speeds, greater numbers of connections, and better coverage, among other improvements. The 5G standard, according to the Next Generation Mobile Networks Alliance, is designed to provide higher data rates as compared to previous standards, more accurate positioning (e.g., based on reference signals for positioning (RS-P), such as downlink, uplink, or sidelink positioning reference signals (PRS)), and other technical enhancements. These enhancements, as well as the use of higher frequency bands, advances in PRS processes and technology, and high-density deployments for 5G, enable highly accurate 5G-based positioning.

SUMMARY

The following presents a simplified summary relating to one or more aspects disclosed herein. Thus, the following summary should not be considered an extensive overview relating to all contemplated aspects, nor should the following summary be considered to identify key or critical elements relating to all contemplated aspects or to delineate the scope associated with any particular aspect. Accordingly, the following summary has the sole purpose to present certain concepts relating to one or more aspects relating to the mechanisms disclosed herein in a simplified form to precede the detailed description presented below.

In an aspect, a method of wireless sensing performed by a user equipment (UE) includes detecting an object and a direction to the object in an environment of the UE; determining whether the object is a human; identifying, based on the object being a human, a sensitive body part of the human; and performing, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

In an aspect, a user equipment (UE) includes a memory; at least one transceiver; and at least one processor communicatively coupled to the memory and the at least one transceiver, the at least one processor configured to: detect an object and a direction to the object in an environment of the UE; determine whether the object is a human; identify, based on the object being the human, a sensitive body part of the human; and perform, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

In an aspect, a user equipment (UE) includes means for detecting an object and a direction to the object in an environment of the UE; means for determining whether the object is a human; means for identifying, based on the object being the human, a sensitive body part of the human; and means for performing, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

In an aspect, a non-transitory computer-readable medium storing computer-executable instructions that, when executed by a user equipment (UE), cause the UE to: detect an object and a direction to the object in an environment of the UE; determine whether the object is a human; identify, based on the object being the human, a sensitive body part of the human; and perform, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

Other objects and advantages associated with the aspects disclosed herein will be apparent to those skilled in the art based on the accompanying drawings and detailed description.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings are presented to aid in the description of various aspects of the disclosure and are provided solely for illustration of the aspects and not limitation thereof.

FIG. 1 illustrates an example wireless communications system, according to aspects of the disclosure.

FIGS. 2A and 2B illustrate example wireless network structures, according to aspects of the disclosure.

FIGS. 3A, 3B, and 3C are simplified block diagrams of several sample aspects of components that may be employed in a user equipment (UE), a base station, and a network entity, respectively, and configured to support communications as taught herein.

FIG. 4 illustrates an example method of operating a Wi-Fi radar for human detection and MPE operation, according to aspects of the disclosure.

FIG. 5 illustrates an example method of wireless sensing, according to aspects of the disclosure.

DETAILED DESCRIPTION

Aspects of the disclosure are provided in the following description and related drawings directed to various examples provided for illustration purposes. Alternate aspects may be devised without departing from the scope of the disclosure. Additionally, well-known elements of the disclosure will not be described in detail or will be omitted so as not to obscure the relevant details of the disclosure.

The words “exemplary” and/or “example” are used herein to mean “serving as an example, instance, or illustration.” Any aspect described herein as “exemplary” and/or “example” is not necessarily to be construed as preferred or advantageous over other aspects. Likewise, the term “aspects of the disclosure” does not require that all aspects of the disclosure include the discussed feature, advantage or mode of operation.

Those of skill in the art will appreciate that the information and signals described below may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the description below may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof, depending in part on the particular application, in part on the desired design, in part on the corresponding technology, etc.

Further, many aspects are described in terms of sequences of actions to be performed by, for example, elements of a computing device. It will be recognized that various actions described herein can be performed by specific circuits (e.g., application specific integrated circuits (ASICs)), by program instructions being executed by one or more processors, or by a combination of both. Additionally, the sequence(s) of actions described herein can be considered to be embodied entirely within any form of non-transitory computer-readable storage medium having stored therein a corresponding set of computer instructions that, upon execution, would cause or instruct an associated processor of a device to perform the functionality described herein. Thus, the various aspects of the disclosure may be embodied in a number of different forms, all of which have been contemplated to be within the scope of the claimed subject matter. In addition, for each of the aspects described herein, the corresponding form of any such aspects may be described herein as, for example, “logic configured to” perform the described action.

As used herein, the terms “user equipment” (UE) and “base station” are not intended to be specific or otherwise limited to any particular radio access technology (RAT), unless otherwise noted. In general, a UE may be any wireless communication device (e.g., a mobile phone, router, tablet computer, laptop computer, consumer asset locating device, wearable (e.g., smartwatch, glasses, augmented reality (AR)/virtual reality (VR) headset, etc.), vehicle (e.g., automobile, motorcycle, bicycle, etc.), Internet of Things (IoT) device, etc.) used by a user to communicate over a wireless communications network. A UE may be mobile or may (e.g., at certain times) be stationary, and may communicate with a radio access network (RAN). As used herein, the term “UE” may be referred to interchangeably as an “access terminal” or “AT,” a “client device,” a “wireless device,” a “subscriber device,” a “subscriber terminal,” a “subscriber station,” a “user terminal” or “UT,” a “mobile device,” a “mobile terminal,” a “mobile station,” or variations thereof. Generally, UEs can communicate with a core network via a RAN, and through the core network the UEs can be connected with external networks such as the Internet and with other UEs. Of course, other mechanisms of connecting to the core network and/or the Internet are also possible for the UEs, such as over wired access networks, wireless local area network (WLAN) networks (e.g., based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 specification, etc.) and so on.

A base station may operate according to one of several RATs in communication with UEs depending on the network in which it is deployed, and may be alternatively referred to as an access point (AP), a network node, a NodeB, an evolved NodeB (eNB), a next generation eNB (ng-eNB), a New Radio (NR) Node B (also referred to as a gNB or gNodeB), etc. A base station may be used primarily to support wireless access by UEs, including supporting data, voice, and/or signaling connections for the supported UEs. In some systems a base station may provide purely edge node signaling functions while in other systems it may provide additional control and/or network management functions. A communication link through which UEs can send signals to a base station is called an uplink (UL) channel (e.g., a reverse traffic channel, a reverse control channel, an access channel, etc.). A communication link through which the base station can send signals to UEs is called a downlink (DL) or forward link channel (e.g., a paging channel, a control channel, a broadcast channel, a forward traffic channel, etc.). As used herein the term traffic channel (TCH) can refer to either an uplink/reverse or downlink/forward traffic channel.

The term “base station” may refer to a single physical transmission-reception point (TRP) or to multiple physical TRPs that may or may not be co-located. For example, where the term “base station” refers to a single physical TRP, the physical TRP may be an antenna of the base station corresponding to a cell (or several cell sectors) of the base station. Where the term “base station” refers to multiple co-located physical TRPs, the physical TRPs may be an array of antennas (e.g., as in a multiple-input multiple-output (MIMO) system or where the base station employs beamforming) of the base station. Where the term “base station” refers to multiple non-co-located physical TRPs, the physical TRPs may be a distributed antenna system (DAS) (a network of spatially separated antennas connected to a common source via a transport medium) or a remote radio head (RRH) (a remote base station connected to a serving base station). Alternatively, the non-co-located physical TRPs may be the serving base station receiving the measurement report from the UE and a neighbor base station whose reference radio frequency (RF) signals the UE is measuring. Because a TRP is the point from which a base station transmits and receives wireless signals, as used herein, references to transmission from or reception at a base station are to be understood as referring to a particular TRP of the base station.

In some implementations that support positioning of UEs, a base station may not support wireless access by UEs (e.g., may not support data, voice, and/or signaling connections for UEs), but may instead transmit reference signals to UEs to be measured by the UEs, and/or may receive and measure signals transmitted by the UEs. Such a base station may be referred to as a positioning beacon (e.g., when transmitting signals to UEs) and/or as a location measurement unit (e.g., when receiving and measuring signals from UEs).

An “RF signal” comprises an electromagnetic wave of a given frequency that transports information through the space between a transmitter and a receiver. As used herein, a transmitter may transmit a single “RF signal” or multiple “RF signals” to a receiver. However, the receiver may receive multiple “RF signals” corresponding to each transmitted RF signal due to the propagation characteristics of RF signals through multipath channels. The same transmitted RF signal on different paths between the transmitter and receiver may be referred to as a “multipath” RF signal. As used herein, an RF signal may also be referred to as a “wireless signal” or simply a “signal” where it is clear from the context that the term “signal” refers to a wireless signal or an RF signal.

FIG. 1 illustrates an example wireless communications system 100, according to aspects of the disclosure. The wireless communications system 100 (which may also be referred to as a wireless wide area network (WWAN)) may include various base stations 102 (labeled “BS”) and various UEs 104. The base stations 102 may include macro cell base stations (high power cellular base stations) and/or small cell base stations (low power cellular base stations). In an aspect, the macro cell base stations may include eNBs and/or ng-eNBs where the wireless communications system 100 corresponds to an LTE network, or gNBs where the wireless communications system 100 corresponds to a NR network, or a combination of both, and the small cell base stations may include femtocells, picocells, microcells, etc.

The base stations 102 may collectively form a RAN and interface with a core network 170 (e.g., an evolved packet core (EPC) or a 5G core (5GC)) through backhaul links 122, and through the core network 170 to one or more location servers 172 (e.g., a location management function (LMF) or a secure user plane location (SUPL) location platform (SLP)). The location server(s) 172 may be part of core network 170 or may be external to core network 170. A location server 172 may be integrated with a base station 102. A UE 104 may communicate with a location server 172 directly or indirectly. For example, a UE 104 may communicate with a location server 172 via the base station 102 that is currently serving that UE 104. A UE 104 may also communicate with a location server 172 through another path, such as via an application server (not shown), via another network, such as via a wireless local area network (WLAN) access point (AP) (e.g., AP 150 described below), and so on. For signaling purposes, communication between a UE 104 and a location server 172 may be represented as an indirect connection (e.g., through the core network 170, etc.) or a direct connection (e.g., as shown via direct connection 128), with the intervening nodes (if any) omitted from a signaling diagram for clarity.

In addition to other functions, the base stations 102 may perform functions that relate to one or more of transferring user data, radio channel ciphering and deciphering, integrity protection, header compression, mobility control functions (e.g., handover, dual connectivity), inter-cell interference coordination, connection setup and release, load balancing, distribution for non-access stratum (NAS) messages, NAS node selection, synchronization, RAN sharing, multimedia broadcast multicast service (MBMS), subscriber and equipment trace, RAN information management (RIM), paging, positioning, and delivery of warning messages. The base stations 102 may communicate with each other directly or indirectly (e.g., through the EPC/5GC) over backhaul links 134, which may be wired or wireless.

The base stations 102 may wirelessly communicate with the UEs 104. Each of the base stations 102 may provide communication coverage for a respective geographic coverage area 110. In an aspect, one or more cells may be supported by a base station 102 in each geographic coverage area 110. A “cell” is a logical communication entity used for communication with a base station (e.g., over some frequency resource, referred to as a carrier frequency, component carrier, carrier, band, or the like), and may be associated with an identifier (e.g., a physical cell identifier (PCI), an enhanced cell identifier (ECI), a virtual cell identifier (VCI), a cell global identifier (CGI), etc.) for distinguishing cells operating via the same or a different carrier frequency. In some cases, different cells may be configured according to different protocol types (e.g., machine-type communication (MTC), narrowband IoT (NB-IoT), enhanced mobile broadband (eMBB), or others) that may provide access for different types of UEs. Because a cell is supported by a specific base station, the term “cell” may refer to either or both of the logical communication entity and the base station that supports it, depending on the context. In addition, because a TRP is typically the physical transmission point of a cell, the terms “cell” and “TRP” may be used interchangeably. In some cases, the term “cell” may also refer to a geographic coverage area of a base station (e.g., a sector), insofar as a carrier frequency can be detected and used for communication within some portion of geographic coverage areas 110.

While neighboring macro cell base station 102 geographic coverage areas 110 may partially overlap (e.g., in a handover region), some of the geographic coverage areas 110 may be substantially overlapped by a larger geographic coverage area 110. For example, a small cell base station 102′ (labeled “SC” for “small cell”) may have a geographic coverage area 110′ that substantially overlaps with the geographic coverage area 110 of one or more macro cell base stations 102. A network that includes both small cell and macro cell base stations may be known as a heterogeneous network. A heterogeneous network may also include home eNBs (HeNBs), which may provide service to a restricted group known as a closed subscriber group (CSG).

The communication links 120 between the base stations 102 and the UEs 104 may include uplink (also referred to as reverse link) transmissions from a UE 104 to a base station 102 and/or downlink (DL) (also referred to as forward link) transmissions from a base station 102 to a UE 104. The communication links 120 may use MIMO antenna technology, including spatial multiplexing, beamforming, and/or transmit diversity. The communication links 120 may be through one or more carrier frequencies. Allocation of carriers may be asymmetric with respect to downlink and uplink (e.g., more or less carriers may be allocated for downlink than for uplink).

The wireless communications system 100 may further include a wireless local area network (WLAN) access point (AP) 150 in communication with WLAN stations (STAs) 152 via communication links 154 in an unlicensed frequency spectrum (e.g., 5 GHz). When communicating in an unlicensed frequency spectrum, the WLAN STAs 152 and/or the WLAN AP 150 may perform a clear channel assessment (CCA) or listen before talk (LBT) procedure prior to communicating in order to determine whether the channel is available.

The small cell base station 102′ may operate in a licensed and/or an unlicensed frequency spectrum. When operating in an unlicensed frequency spectrum, the small cell base station 102′ may employ LTE or NR technology and use the same 5 GHz unlicensed frequency spectrum as used by the WLAN AP 150. The small cell base station 102′, employing LTE/5G in an unlicensed frequency spectrum, may boost coverage to and/or increase capacity of the access network. NR in unlicensed spectrum may be referred to as NR-U. LTE in an unlicensed spectrum may be referred to as LTE-U, licensed assisted access (LAA), or MulteFire.

The wireless communications system 100 may further include a millimeter wave (mmW) base station 180 that may operate in mmW frequencies and/or near mmW frequencies in communication with a UE 182. Extremely high frequency (EHF) is part of the RF in the electromagnetic spectrum. EHF has a range of 30 GHz to 300 GHz and a wavelength between 1 millimeter and 10 millimeters. Radio waves in this band may be referred to as a millimeter wave. Near mmW may extend down to a frequency of 3 GHz with a wavelength of 100 millimeters. The super high frequency (SHF) band extends between 3 GHz and 30 GHz, also referred to as centimeter wave. Communications using the mmW/near mmW radio frequency band have high path loss and a relatively short range. The mmW base station 180 and the UE 182 may utilize beamforming (transmit and/or receive) over a mmW communication link 184 to compensate for the extremely high path loss and short range. Further, it will be appreciated that in alternative configurations, one or more base stations 102 may also transmit using mmW or near mmW and beamforming. Accordingly, it will be appreciated that the foregoing illustrations are merely examples and should not be construed to limit the various aspects disclosed herein.

Transmit beamforming is a technique for focusing an RF signal in a specific direction. Traditionally, when a network node (e.g., a base station) broadcasts an RF signal, it broadcasts the signal in all directions (omni-directionally). With transmit beamforming, the network node determines where a given target device (e.g., a UE) is located (relative to the transmitting network node) and projects a stronger downlink RF signal in that specific direction, thereby providing a faster (in terms of data rate) and stronger RF signal for the receiving device(s). To change the directionality of the RF signal when transmitting, a network node can control the phase and relative amplitude of the RF signal at each of the one or more transmitters that are broadcasting the RF signal. For example, a network node may use an array of antennas (referred to as a “phased array” or an “antenna array”) that creates a beam of RF waves that can be “steered” to point in different directions, without actually moving the antennas. Specifically, the RF current from the transmitter is fed to the individual antennas with the correct phase relationship so that the radio waves from the separate antennas add together to increase the radiation in a desired direction, while cancelling to suppress radiation in undesired directions.

Transmit beams may be quasi-co-located, meaning that they appear to the receiver (e.g., a UE) as having the same parameters, regardless of whether or not the transmitting antennas of the network node themselves are physically co-located. In NR, there are four types of quasi-co-location (QCL) relations. Specifically, a QCL relation of a given type means that certain parameters about a second reference RF signal on a second beam can be derived from information about a source reference RF signal on a source beam. Thus, if the source reference RF signal is QCL Type A, the receiver can use the source reference RF signal to estimate the Doppler shift, Doppler spread, average delay, and delay spread of a second reference RF signal transmitted on the same channel. If the source reference RF signal is QCL Type B, the receiver can use the source reference RF signal to estimate the Doppler shift and Doppler spread of a second reference RF signal transmitted on the same channel. If the source reference RF signal is QCL Type C, the receiver can use the source reference RF signal to estimate the Doppler shift and average delay of a second reference RF signal transmitted on the same channel. If the source reference RF signal is QCL Type D, the receiver can use the source reference RF signal to estimate the spatial receive parameter of a second reference RF signal transmitted on the same channel.

In receive beamforming, the receiver uses a receive beam to amplify RF signals detected on a given channel. For example, the receiver can increase the gain setting and/or adjust the phase setting of an array of antennas in a particular direction to amplify (e.g., to increase the gain level of) the RF signals received from that direction. Thus, when a receiver is said to beamform in a certain direction, it means the beam gain in that direction is high relative to the beam gain along other directions, or the beam gain in that direction is the highest compared to the beam gain in that direction of all other receive beams available to the receiver. This results in a stronger received signal strength (e.g., reference signal received power (RSRP), reference signal received quality (RSRQ), signal-to-interference-plus-noise ratio (SINR), etc.) of the RF signals received from that direction.

Transmit and receive beams may be spatially related. A spatial relation means that parameters for a second beam (e.g., a transmit or receive beam) for a second reference signal can be derived from information about a first beam (e.g., a receive beam or a transmit beam) for a first reference signal. For example, a UE may use a particular receive beam to receive a reference downlink reference signal (e.g., synchronization signal block (SSB)) from a base station. The UE can then form a transmit beam for sending an uplink reference signal (e.g., sounding reference signal (SRS)) to that base station based on the parameters of the receive beam.

Note that a “downlink” beam may be either a transmit beam or a receive beam, depending on the entity forming it. For example, if a base station is forming the downlink beam to transmit a reference signal to a UE, the downlink beam is a transmit beam. If the UE is forming the downlink beam, however, it is a receive beam to receive the downlink reference signal. Similarly, an “uplink” beam may be either a transmit beam or a receive beam, depending on the entity forming it. For example, if a base station is forming the uplink beam, it is an uplink receive beam, and if a UE is forming the uplink beam, it is an uplink transmit beam.

The electromagnetic spectrum is often subdivided, based on frequency/wavelength, into various classes, bands, channels, etc. In 5G NR two initial operating bands have been identified as frequency range designations FR1 (410 MHz-7.125 GHz) and FR2 (24.25 GHz-52.6 GHz). It should be understood that although a portion of FR1 is greater than 6 GHz, FR1 is often referred to (interchangeably) as a “Sub-6 GHz” band in various documents and articles. A similar nomenclature issue sometimes occurs with regard to FR2, which is often referred to (interchangeably) as a “millimeter wave” band in documents and articles, despite being different from the extremely high frequency (EHF) band (30 GHz-300 GHz) which is identified by the International Telecommunications Union (ITU) as a “millimeter wave” band.

The frequencies between FR1 and FR2 are often referred to as mid-band frequencies. Recent 5G NR studies have identified an operating band for these mid-band frequencies as frequency range designation FR3 (7.125 GHz-24.25 GHz). Frequency bands falling within FR3 may inherit FR1 characteristics and/or FR2 characteristics, and thus may effectively extend features of FR1 and/or FR2 into mid-band frequencies. In addition, higher frequency bands are currently being explored to extend 5G NR operation beyond 52.6 GHz. For example, three higher operating bands have been identified as frequency range designations FR4a or FR4-1 (52.6 GHz-71 GHz), FR4 (52.6 GHz-114.25 GHz), and FR5 (114.25 GHz-300 GHz). Each of these higher frequency bands falls within the EHF band.

With the above aspects in mind, unless specifically stated otherwise, it should be understood that the term “sub-6 GHz” or the like if used herein may broadly represent frequencies that may be less than 6 GHz, may be within FR1, or may include mid-band frequencies. Further, unless specifically stated otherwise, it should be understood that the term “millimeter wave” or the like if used herein may broadly represent frequencies that may include mid-band frequencies, may be within FR2, FR4, FR4-a or FR4-1, and/or FR5, or may be within the EHF band.

In a multi-carrier system, such as 5G, one of the carrier frequencies is referred to as the “primary carrier” or “anchor carrier” or “primary serving cell” or “PCell,” and the remaining carrier frequencies are referred to as “secondary carriers” or “secondary serving cells” or “SCells.” In carrier aggregation, the anchor carrier is the carrier operating on the primary frequency (e.g., FR1) utilized by a UE 104/182 and the cell in which the UE 104/182 either performs the initial radio resource control (RRC) connection establishment procedure or initiates the RRC connection re-establishment procedure. The primary carrier carries all common and UE-specific control channels, and may be a carrier in a licensed frequency (however, this is not always the case). A secondary carrier is a carrier operating on a second frequency (e.g., FR2) that may be configured once the RRC connection is established between the UE 104 and the anchor carrier and that may be used to provide additional radio resources. In some cases, the secondary carrier may be a carrier in an unlicensed frequency. The secondary carrier may contain only necessary signaling information and signals, for example, those that are UE-specific may not be present in the secondary carrier, since both primary uplink and downlink carriers are typically UE-specific. This means that different UEs 104/182 in a cell may have different downlink primary carriers. The same is true for the uplink primary carriers. The network is able to change the primary carrier of any UE 104/182 at any time. This is done, for example, to balance the load on different carriers. Because a “serving cell” (whether a PCell or an SCell) corresponds to a carrier frequency/component carrier over which some base station is communicating, the term “cell,” “serving cell,” “component carrier,” “carrier frequency,” and the like can be used interchangeably.

For example, still referring to FIG. 1 , one of the frequencies utilized by the macro cell base stations 102 may be an anchor carrier (or “PCell”) and other frequencies utilized by the macro cell base stations 102 and/or the mmW base station 180 may be secondary carriers (“SCells”). The simultaneous transmission and/or reception of multiple carriers enables the UE 104/182 to significantly increase its data transmission and/or reception rates. For example, two 20 MHz aggregated carriers in a multi-carrier system would theoretically lead to a two-fold increase in data rate (i.e., 40 MHz), compared to that attained by a single 20 MHz carrier.

The wireless communications system 100 may further include a UE 164 that may communicate with a macro cell base station 102 over a communication link 120 and/or the mmW base station 180 over a mmW communication link 184. For example, the macro cell base station 102 may support a PCell and one or more S Cells for the UE 164 and the mmW base station 180 may support one or more SCells for the UE 164.

In some cases, the UE 164 and the UE 182 may be capable of sidelink communication. Sidelink-capable UEs (SL-UEs) may communicate with base stations 102 over communication links 120 using the Uu interface (i.e., the air interface between a UE and a base station). SL-UEs (e.g., UE 164, UE 182) may also communicate directly with each other over a wireless sidelink 160 using the PC5 interface (i.e., the air interface between sidelink-capable UEs). A wireless sidelink (or just “sidelink”) is an adaptation of the core cellular (e.g., LTE, NR) standard that allows direct communication between two or more UEs without the communication needing to go through a base station. Sidelink communication may be unicast or multicast, and may be used for device-to-device (D2D) media-sharing, vehicle-to-vehicle (V2V) communication, vehicle-to-everything (V2X) communication (e.g., cellular V2X (cV2X) communication, enhanced V2X (eV2X) communication, etc.), emergency rescue applications, etc. One or more of a group of SL-UEs utilizing sidelink communications may be within the geographic coverage area 110 of a base station 102. Other SL-UEs in such a group may be outside the geographic coverage area 110 of a base station 102 or be otherwise unable to receive transmissions from a base station 102. In some cases, groups of SL-UEs communicating via sidelink communications may utilize a one-to-many (1:M) system in which each SL-UE transmits to every other SL-UE in the group. In some cases, a base station 102 facilitates the scheduling of resources for sidelink communications. In other cases, sidelink communications are carried out between SL-UEs without the involvement of a base station 102.

In an aspect, the sidelink 160 may operate over a wireless communication medium of interest, which may be shared with other wireless communications between other vehicles and/or infrastructure access points, as well as other RATs. A “medium” may be composed of one or more time, frequency, and/or space communication resources (e.g., encompassing one or more channels across one or more carriers) associated with wireless communication between one or more transmitter/receiver pairs. In an aspect, the medium of interest may correspond to at least a portion of an unlicensed frequency band shared among various RATs. Although different licensed frequency bands have been reserved for certain communication systems (e.g., by a government entity such as the Federal Communications Commission (FCC) in the United States), these systems, in particular those employing small cell access points, have recently extended operation into unlicensed frequency bands such as the Unlicensed National Information Infrastructure (U-NII) band used by wireless local area network (WLAN) technologies, most notably IEEE 802.11x WLAN technologies generally referred to as “Wi-Fi.” Example systems of this type include different variants of CDMA systems, TDMA systems, FDMA systems, orthogonal FDMA (OFDMA) systems, single-carrier FDMA (SC-FDMA) systems, and so on.

Note that although FIG. 1 only illustrates two of the UEs as SL-UEs (i.e., UEs 164 and 182), any of the illustrated UEs may be SL-UEs. Further, although only UE 182 was described as being capable of beamforming, any of the illustrated UEs, including UE 164, may be capable of beamforming. Where SL-UEs are capable of beamforming, they may beamform towards each other (i.e., towards other SL-UEs), towards other UEs (e.g., UEs 104), towards base stations (e.g., base stations 102, 180, small cell 102′, access point 150), etc. Thus, in some cases, UEs 164 and 182 may utilize beamforming over sidelink 160.

In the example of FIG. 1 , any of the illustrated UEs (shown in FIG. 1 as a single UE 104 for simplicity) may receive signals 124 from one or more Earth orbiting space vehicles (SVs) 112 (e.g., satellites). In an aspect, the SVs 112 may be part of a satellite positioning system that a UE 104 can use as an independent source of location information. A satellite positioning system typically includes a system of transmitters (e.g., SVs 112) positioned to enable receivers (e.g., UEs 104) to determine their location on or above the Earth based, at least in part, on positioning signals (e.g., signals 124) received from the transmitters. Such a transmitter typically transmits a signal marked with a repeating pseudo-random noise (PN) code of a set number of chips. While typically located in SVs 112, transmitters may sometimes be located on ground-based control stations, base stations 102, and/or other UEs 104. A UE 104 may include one or more dedicated receivers specifically designed to receive signals 124 for deriving geo location information from the SVs 112.

In a satellite positioning system, the use of signals 124 can be augmented by various satellite-based augmentation systems (SBAS) that may be associated with or otherwise enabled for use with one or more global and/or regional navigation satellite systems. For example an SBAS may include an augmentation system(s) that provides integrity information, differential corrections, etc., such as the Wide Area Augmentation System (WAAS), the European Geostationary Navigation Overlay Service (EGNOS), the Multi-functional Satellite Augmentation System (MSAS), the Global Positioning System (GPS) Aided Geo Augmented Navigation or GPS and Geo Augmented Navigation system (GAGAN), and/or the like. Thus, as used herein, a satellite positioning system may include any combination of one or more global and/or regional navigation satellites associated with such one or more satellite positioning systems.

In an aspect, SVs 112 may additionally or alternatively be part of one or more non-terrestrial networks (NTNs). In an NTN, an SV 112 is connected to an earth station (also referred to as a ground station, NTN gateway, or gateway), which in turn is connected to an element in a 5G network, such as a modified base station 102 (without a terrestrial antenna) or a network node in a SGC. This element would in turn provide access to other elements in the 5G network and ultimately to entities external to the 5G network, such as Internet web servers and other user devices. In that way, a UE 104 may receive communication signals (e.g., signals 124) from an SV 112 instead of, or in addition to, communication signals from a terrestrial base station 102.

The wireless communications system 100 may further include one or more UEs, such as UE 190, that connects indirectly to one or more communication networks via one or more device-to-device (D2D) peer-to-peer (P2P) links (referred to as “sidelinks”). In the example of FIG. 1 , UE 190 has a D2D P2P link 192 with one of the UEs 104 connected to one of the base stations 102 (e.g., through which UE 190 may indirectly obtain cellular connectivity) and a D2D P2P link 194 with WLAN STA 152 connected to the WLAN AP 150 (through which UE 190 may indirectly obtain WLAN-based Internet connectivity). In an example, the D2D P2P links 192 and 194 may be supported with any well-known D2D RAT, such as LTE Direct (LTE-D), Wi-Fi Direct (Wi-Fi-D), Bluetooth®, and so on.

FIG. 2A illustrates an example wireless network structure 200. For example, a 5GC 210 (also referred to as a Next Generation Core (NGC)) can be viewed functionally as control plane (C-plane) functions 214 (e.g., UE registration, authentication, network access, gateway selection, etc.) and user plane (U-plane) functions 212, (e.g., UE gateway function, access to data networks, IP routing, etc.) which operate cooperatively to form the core network. User plane interface (NG-U) 213 and control plane interface (NG-C) 215 connect the gNB 222 to the 5GC 210 and specifically to the user plane functions 212 and control plane functions 214, respectively. In an additional configuration, an ng-eNB 224 may also be connected to the 5GC 210 via NG-C 215 to the control plane functions 214 and NG-U 213 to user plane functions 212. Further, ng-eNB 224 may directly communicate with gNB 222 via a backhaul connection 223. In some configurations, a Next Generation RAN (NG-RAN) 220 may have one or more gNBs 222, while other configurations include one or more of both ng-eNBs 224 and gNBs 222. Either (or both) gNB 222 or ng-eNB 224 may communicate with one or more UEs 204 (e.g., any of the UEs described herein).

Another optional aspect may include a location server 230, which may be in communication with the 5GC 210 to provide location assistance for UE(s) 204. The location server 230 can be implemented as a plurality of separate servers (e.g., physically separate servers, different software modules on a single server, different software modules spread across multiple physical servers, etc.), or alternately may each correspond to a single server. The location server 230 can be configured to support one or more location services for UEs 204 that can connect to the location server 230 via the core network, 5GC 210, and/or via the Internet (not illustrated). Further, the location server 230 may be integrated into a component of the core network, or alternatively may be external to the core network (e.g., a third party server, such as an original equipment manufacturer (OEM) server or service server).

FIG. 2B illustrates another example wireless network structure 250. A 5GC 260 (which may correspond to 5GC 210 in FIG. 2A) can be viewed functionally as control plane functions, provided by an access and mobility management function (AMF) 264, and user plane functions, provided by a user plane function (UPF) 262, which operate cooperatively to form the core network (i.e., 5GC 260). The functions of the AMF 264 include registration management, connection management, reachability management, mobility management, lawful interception, transport for session management (SM) messages between one or more UEs 204 (e.g., any of the UEs described herein) and a session management function (SMF) 266, transparent proxy services for routing SM messages, access authentication and access authorization, transport for short message service (SMS) messages between the UE 204 and the short message service function (SMSF) (not shown), and security anchor functionality (SEAF). The AMF 264 also interacts with an authentication server function (AUSF) (not shown) and the UE 204, and receives the intermediate key that was established as a result of the UE 204 authentication process. In the case of authentication based on a UMTS (universal mobile telecommunications system) subscriber identity module (USIM), the AMF 264 retrieves the security material from the AUSF. The functions of the AMF 264 also include security context management (SCM). The SCM receives a key from the SEAF that it uses to derive access-network specific keys. The functionality of the AMF 264 also includes location services management for regulatory services, transport for location services messages between the UE 204 and a location management function (LMF) 270 (which acts as a location server 230), transport for location services messages between the NG-RAN 220 and the LMF 270, evolved packet system (EPS) bearer identifier allocation for interworking with the EPS, and UE 204 mobility event notification. In addition, the AMF 264 also supports functionalities for non-3GPP (Third Generation Partnership Project) access networks.

Functions of the UPF 262 include acting as an anchor point for intra-/inter-RAT mobility (when applicable), acting as an external protocol data unit (PDU) session point of interconnect to a data network (not shown), providing packet routing and forwarding, packet inspection, user plane policy rule enforcement (e.g., gating, redirection, traffic steering), lawful interception (user plane collection), traffic usage reporting, quality of service (QoS) handling for the user plane (e.g., uplink/downlink rate enforcement, reflective QoS marking in the downlink), uplink traffic verification (service data flow (SDF) to QoS flow mapping), transport level packet marking in the uplink and downlink, downlink packet buffering and downlink data notification triggering, and sending and forwarding of one or more “end markers” to the source RAN node. The UPF 262 may also support transfer of location services messages over a user plane between the UE 204 and a location server, such as an SLP 272.

The functions of the SMF 266 include session management, UE Internet protocol (IP) address allocation and management, selection and control of user plane functions, configuration of traffic steering at the UPF 262 to route traffic to the proper destination, control of part of policy enforcement and QoS, and downlink data notification. The interface over which the SMF 266 communicates with the AMF 264 is referred to as the N11 interface.

Another optional aspect may include an LMF 270, which may be in communication with the 5GC 260 to provide location assistance for UEs 204. The LMF 270 can be implemented as a plurality of separate servers (e.g., physically separate servers, different software modules on a single server, different software modules spread across multiple physical servers, etc.), or alternately may each correspond to a single server. The LMF 270 can be configured to support one or more location services for UEs 204 that can connect to the LMF 270 via the core network, 5GC 260, and/or via the Internet (not illustrated). The SLP 272 may support similar functions to the LMF 270, but whereas the LMF 270 may communicate with the AMF 264, NG-RAN 220, and UEs 204 over a control plane (e.g., using interfaces and protocols intended to convey signaling messages and not voice or data), the SLP 272 may communicate with UEs 204 and external clients (e.g., third-party server 274) over a user plane (e.g., using protocols intended to carry voice and/or data like the transmission control protocol (TCP) and/or IP).

Yet another optional aspect may include a third-party server 274, which may be in communication with the LMF 270, the SLP 272, the 5GC 260 (e.g., via the AMF 264 and/or the UPF 262), the NG-RAN 220, and/or the UE 204 to obtain location information (e.g., a location estimate) for the UE 204. As such, in some cases, the third-party server 274 may be referred to as a location services (LCS) client or an external client. The third-party server 274 can be implemented as a plurality of separate servers (e.g., physically separate servers, different software modules on a single server, different software modules spread across multiple physical servers, etc.), or alternately may each correspond to a single server.

User plane interface 263 and control plane interface 265 connect the 5GC 260, and specifically the UPF 262 and AMF 264, respectively, to one or more gNBs 222 and/or ng-eNBs 224 in the NG-RAN 220. The interface between gNB(s) 222 and/or ng-eNB(s) 224 and the AMF 264 is referred to as the “N2” interface, and the interface between gNB(s) 222 and/or ng-eNB(s) 224 and the UPF 262 is referred to as the “N3” interface. The gNB(s) 222 and/or ng-eNB(s) 224 of the NG-RAN 220 may communicate directly with each other via backhaul connections 223, referred to as the “Xn-C” interface. One or more of gNBs 222 and/or ng-eNBs 224 may communicate with one or more UEs 204 over a wireless interface, referred to as the “Uu” interface.

The functionality of a gNB 222 may be divided between a gNB central unit (gNB-CU) 226, one or more gNB distributed units (gNB-DUs) 228, and one or more gNB radio units (gNB-RUs) 229. A gNB-CU 226 is a logical node that includes the base station functions of transferring user data, mobility control, radio access network sharing, positioning, session management, and the like, except for those functions allocated exclusively to the gNB-DU(s) 228. More specifically, the gNB-CU 226 generally host the radio resource control (RRC), service data adaptation protocol (SDAP), and packet data convergence protocol (PDCP) protocols of the gNB 222. A gNB-DU 228 is a logical node that generally hosts the radio link control (RLC) and medium access control (MAC) layer of the gNB 222. Its operation is controlled by the gNB-CU 226. One gNB-DU 228 can support one or more cells, and one cell is supported by only one gNB-DU 228. The interface 232 between the gNB-CU 226 and the one or more gNB-DUs 228 is referred to as the “F1” interface. The physical (PHY) layer functionality of a gNB 222 is generally hosted by one or more standalone gNB-RUs 229 that perform functions such as power amplification and signal transmission/reception. The interface between a gNB-DU 228 and a gNB-RU 229 is referred to as the “Fx” interface. Thus, a UE 204 communicates with the gNB-CU 226 via the RRC, SDAP, and PDCP layers, with a gNB-DU 228 via the RLC and MAC layers, and with a gNB-RU 229 via the PHY layer.

FIGS. 3A, 3B, and 3C illustrate several example components (represented by corresponding blocks) that may be incorporated into a UE 302 (which may correspond to any of the UEs described herein), a base station 304 (which may correspond to any of the base stations described herein), and a network entity 306 (which may correspond to or embody any of the network functions described herein, including the location server 230 and the LMF 270, or alternatively may be independent from the NG-RAN 220 and/or 5GC 210/260 infrastructure depicted in FIGS. 2A and 2B, such as a private network) to support the file transmission operations as taught herein. It will be appreciated that these components may be implemented in different types of apparatuses in different implementations (e.g., in an ASIC, in a system-on-chip (SoC), etc.). The illustrated components may also be incorporated into other apparatuses in a communication system. For example, other apparatuses in a system may include components similar to those described to provide similar functionality. Also, a given apparatus may contain one or more of the components. For example, an apparatus may include multiple transceiver components that enable the apparatus to operate on multiple carriers and/or communicate via different technologies.

The UE 302 and the base station 304 each include one or more wireless wide area network (WWAN) transceivers 310 and 350, respectively, providing means for communicating (e.g., means for transmitting, means for receiving, means for measuring, means for tuning, means for refraining from transmitting, etc.) via one or more wireless communication networks (not shown), such as an NR network, an LTE network, a GSM network, and/or the like. The WWAN transceivers 310 and 350 may each be connected to one or more antennas 316 and 356, respectively, for communicating with other network nodes, such as other UEs, access points, base stations (e.g., eNBs, gNBs), etc., via at least one designated RAT (e.g., NR, LTE, GSM, etc.) over a wireless communication medium of interest (e.g., some set of time/frequency resources in a particular frequency spectrum). The WWAN transceivers 310 and 350 may be variously configured for transmitting and encoding signals 318 and 358 (e.g., messages, indications, information, and so on), respectively, and, conversely, for receiving and decoding signals 318 and 358 (e.g., messages, indications, information, pilots, and so on), respectively, in accordance with the designated RAT. Specifically, the WWAN transceivers 310 and 350 include one or more transmitters 314 and 354, respectively, for transmitting and encoding signals 318 and 358, respectively, and one or more receivers 312 and 352, respectively, for receiving and decoding signals 318 and 358, respectively.

The UE 302 and the base station 304 each also include, at least in some cases, one or more short-range wireless transceivers 320 and 360, respectively. The short-range wireless transceivers 320 and 360 may be connected to one or more antennas 326 and 366, respectively, and provide means for communicating (e.g., means for transmitting, means for receiving, means for measuring, means for tuning, means for refraining from transmitting, etc.) with other network nodes, such as other UEs, access points, base stations, etc., via at least one designated RAT (e.g., Wi-Fi, LTE-D, Bluetooth®, Zigbee®, Z-Wave®, PC5, dedicated short-range communications (DSRC), wireless access for vehicular environments (WAVE), near-field communication (NFC), etc.) over a wireless communication medium of interest. The short-range wireless transceivers 320 and 360 may be variously configured for transmitting and encoding signals 328 and 368 (e.g., messages, indications, information, and so on), respectively, and, conversely, for receiving and decoding signals 328 and 368 (e.g., messages, indications, information, pilots, and so on), respectively, in accordance with the designated RAT. Specifically, the short-range wireless transceivers 320 and 360 include one or more transmitters 324 and 364, respectively, for transmitting and encoding signals 328 and 368, respectively, and one or more receivers 322 and 362, respectively, for receiving and decoding signals 328 and 368, respectively. As specific examples, the short-range wireless transceivers 320 and 360 may be Wi-Fi transceivers, Bluetooth® transceivers, Zigbee® and/or Z-Wave® transceivers, NFC transceivers, or vehicle-to-vehicle (V2V) and/or vehicle-to-everything (V2X) transceivers.

The UE 302 and the base station 304 also include, at least in some cases, satellite signal receivers 330 and 370. The satellite signal receivers 330 and 370 may be connected to one or more antennas 336 and 376, respectively, and may provide means for receiving and/or measuring satellite positioning/communication signals 338 and 378, respectively. Where the satellite signal receivers 330 and 370 are satellite positioning system receivers, the satellite positioning/communication signals 338 and 378 may be global positioning system (GPS) signals, global navigation satellite system (GLONASS) signals, Galileo signals, Beidou signals, Indian Regional Navigation Satellite System (NAVIC), Quasi-Zenith Satellite System (QZSS), etc. Where the satellite signal receivers 330 and 370 are non-terrestrial network (NTN) receivers, the satellite positioning/communication signals 338 and 378 may be communication signals (e.g., carrying control and/or user data) originating from a 5G network. The satellite signal receivers 330 and 370 may comprise any suitable hardware and/or software for receiving and processing satellite positioning/communication signals 338 and 378, respectively. The satellite signal receivers 330 and 370 may request information and operations as appropriate from the other systems, and, at least in some cases, perform calculations to determine locations of the UE 302 and the base station 304, respectively, using measurements obtained by any suitable satellite positioning system algorithm.

The base station 304 and the network entity 306 each include one or more network transceivers 380 and 390, respectively, providing means for communicating (e.g., means for transmitting, means for receiving, etc.) with other network entities (e.g., other base stations 304, other network entities 306). For example, the base station 304 may employ the one or more network transceivers 380 to communicate with other base stations 304 or network entities 306 over one or more wired or wireless backhaul links. As another example, the network entity 306 may employ the one or more network transceivers 390 to communicate with one or more base station 304 over one or more wired or wireless backhaul links, or with other network entities 306 over one or more wired or wireless core network interfaces.

A transceiver may be configured to communicate over a wired or wireless link. A transceiver (whether a wired transceiver or a wireless transceiver) includes transmitter circuitry (e.g., transmitters 314, 324, 354, 364) and receiver circuitry (e.g., receivers 312, 322, 352, 362). A transceiver may be an integrated device (e.g., embodying transmitter circuitry and receiver circuitry in a single device) in some implementations, may comprise separate transmitter circuitry and separate receiver circuitry in some implementations, or may be embodied in other ways in other implementations. The transmitter circuitry and receiver circuitry of a wired transceiver (e.g., network transceivers 380 and 390 in some implementations) may be coupled to one or more wired network interface ports. Wireless transmitter circuitry (e.g., transmitters 314, 324, 354, 364) may include or be coupled to a plurality of antennas (e.g., antennas 316, 326, 356, 366), such as an antenna array, that permits the respective apparatus (e.g., UE 302, base station 304) to perform transmit “beamforming,” as described herein. Similarly, wireless receiver circuitry (e.g., receivers 312, 322, 352, 362) may include or be coupled to a plurality of antennas (e.g., antennas 316, 326, 356, 366), such as an antenna array, that permits the respective apparatus (e.g., UE 302, base station 304) to perform receive beamforming, as described herein. In an aspect, the transmitter circuitry and receiver circuitry may share the same plurality of antennas (e.g., antennas 316, 326, 356, 366), such that the respective apparatus can only receive or transmit at a given time, not both at the same time. A wireless transceiver (e.g., WWAN transceivers 310 and 350, short-range wireless transceivers 320 and 360) may also include a network listen module (NLM) or the like for performing various measurements.

As used herein, the various wireless transceivers (e.g., transceivers 310, 320, 350, and 360, and network transceivers 380 and 390 in some implementations) and wired transceivers (e.g., network transceivers 380 and 390 in some implementations) may generally be characterized as “a transceiver,” “at least one transceiver,” or “one or more transceivers.” As such, whether a particular transceiver is a wired or wireless transceiver may be inferred from the type of communication performed. For example, backhaul communication between network devices or servers will generally relate to signaling via a wired transceiver, whereas wireless communication between a UE (e.g., UE 302) and a base station (e.g., base station 304) will generally relate to signaling via a wireless transceiver.

The UE 302, the base station 304, and the network entity 306 also include other components that may be used in conjunction with the operations as disclosed herein. The UE 302, the base station 304, and the network entity 306 include one or more processors 332, 384, and 394, respectively, for providing functionality relating to, for example, wireless communication, and for providing other processing functionality. The processors 332, 384, and 394 may therefore provide means for processing, such as means for determining, means for calculating, means for receiving, means for transmitting, means for indicating, etc. In an aspect, the processors 332, 384, and 394 may include, for example, one or more general purpose processors, multi-core processors, central processing units (CPUs), ASICs, digital signal processors (DSPs), field programmable gate arrays (FPGAs), other programmable logic devices or processing circuitry, or various combinations thereof.

The UE 302, the base station 304, and the network entity 306 include memory circuitry implementing memories 340, 386, and 396 (e.g., each including a memory device), respectively, for maintaining information (e.g., information indicative of reserved resources, thresholds, parameters, and so on). The memories 340, 386, and 396 may therefore provide means for storing, means for retrieving, means for maintaining, etc. In some cases, the UE 302, the base station 304, and the network entity 306 may include sensing component 342, 388, and 398, respectively. The sensing component 342, 388, and 398 may be hardware circuits that are part of or coupled to the processors 332, 384, and 394, respectively, that, when executed, cause the UE 302, the base station 304, and the network entity 306 to perform the functionality described herein. In other aspects, the sensing component 342, 388, and 398 may be external to the processors 332, 384, and 394 (e.g., part of a modem processing system, integrated with another processing system, etc.). Alternatively, the sensing component 342, 388, and 398 may be memory modules stored in the memories 340, 386, and 396, respectively, that, when executed by the processors 332, 384, and 394 (or a modem processing system, another processing system, etc.), cause the UE 302, the base station 304, and the network entity 306 to perform the functionality described herein. FIG. 3A illustrates possible locations of the sensing component 342, which may be, for example, part of the one or more WWAN transceivers 310, the memory 340, the one or more processors 332, or any combination thereof, or may be a standalone component. FIG. 3B illustrates possible locations of the sensing component 388, which may be, for example, part of the one or more WWAN transceivers 350, the memory 386, the one or more processors 384, or any combination thereof, or may be a standalone component. FIG. 3C illustrates possible locations of the sensing component 398, which may be, for example, part of the one or more network transceivers 390, the memory 396, the one or more processors 394, or any combination thereof, or may be a standalone component.

The UE 302 may include one or more sensors 344 coupled to the one or more processors 332 to provide means for sensing or detecting movement and/or orientation information that is independent of motion data derived from signals received by the one or more WWAN transceivers 310, the one or more short-range wireless transceivers 320, and/or the satellite signal receiver 330. By way of example, the sensor(s) 344 may include an accelerometer (e.g., a micro-electrical mechanical systems (MEMS) device), a gyroscope, a geomagnetic sensor (e.g., a compass), an altimeter (e.g., a barometric pressure altimeter), and/or any other type of movement detection sensor. Moreover, the sensor(s) 344 may include a plurality of different types of devices and combine their outputs in order to provide motion information. For example, the sensor(s) 344 may use a combination of a multi-axis accelerometer and orientation sensors to provide the ability to compute positions in two-dimensional (2D) and/or three-dimensional (3D) coordinate systems.

In addition, the UE 302 includes a user interface 346 providing means for providing indications (e.g., audible and/or visual indications) to a user and/or for receiving user input (e.g., upon user actuation of a sensing device such a keypad, a touch screen, a microphone, and so on). Although not shown, the base station 304 and the network entity 306 may also include user interfaces.

Although not shown, the UE 302 may include other components for implementing the functionality described herein. For example, the UE 302 may include at least one rear-facing camera and at least one front-facing camera. The UE 302 may also include a lidar system to provide ranging information to various objects in the environment of the UE 302.

Referring to the one or more processors 384 in more detail, in the downlink, IP packets from the network entity 306 may be provided to the processor 384. The one or more processors 384 may implement functionality for an RRC layer, a packet data convergence protocol (PDCP) layer, a radio link control (RLC) layer, and a medium access control (MAC) layer. The one or more processors 384 may provide RRC layer functionality associated with broadcasting of system information (e.g., master information block (MIB), system information blocks (SIBs)), RRC connection control (e.g., RRC connection paging, RRC connection establishment, RRC connection modification, and RRC connection release), inter-RAT mobility, and measurement configuration for UE measurement reporting; PDCP layer functionality associated with header compression/decompression, security (ciphering, deciphering, integrity protection, integrity verification), and handover support functions; RLC layer functionality associated with the transfer of upper layer PDUs, error correction through automatic repeat request (ARQ), concatenation, segmentation, and reassembly of RLC service data units (SDUs), re-segmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, scheduling information reporting, error correction, priority handling, and logical channel prioritization.

The transmitter 354 and the receiver 352 may implement Layer-1 (L1) functionality associated with various signal processing functions. Layer-1, which includes a physical (PHY) layer, may include error detection on the transport channels, forward error correction (FEC) coding/decoding of the transport channels, interleaving, rate matching, mapping onto physical channels, modulation/demodulation of physical channels, and MIMO antenna processing. The transmitter 354 handles mapping to signal constellations based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The coded and modulated symbols may then be split into parallel streams. Each stream may then be mapped to an orthogonal frequency division multiplexing (OFDM) subcarrier, multiplexed with a reference signal (e.g., pilot) in the time and/or frequency domain, and then combined together using an inverse fast Fourier transform (IFFT) to produce a physical channel carrying a time domain OFDM symbol stream. The OFDM symbol stream is spatially precoded to produce multiple spatial streams. Channel estimates from a channel estimator may be used to determine the coding and modulation scheme, as well as for spatial processing. The channel estimate may be derived from a reference signal and/or channel condition feedback transmitted by the UE 302. Each spatial stream may then be provided to one or more different antennas 356. The transmitter 354 may modulate an RF carrier with a respective spatial stream for transmission.

At the UE 302, the receiver 312 receives a signal through its respective antenna(s) 316. The receiver 312 recovers information modulated onto an RF carrier and provides the information to the one or more processors 332. The transmitter 314 and the receiver 312 implement Layer-1 functionality associated with various signal processing functions. The receiver 312 may perform spatial processing on the information to recover any spatial streams destined for the UE 302. If multiple spatial streams are destined for the UE 302, they may be combined by the receiver 312 into a single OFDM symbol stream. The receiver 312 then converts the OFDM symbol stream from the time-domain to the frequency domain using a fast Fourier transform (FFT). The frequency domain signal comprises a separate OFDM symbol stream for each subcarrier of the OFDM signal. The symbols on each subcarrier, and the reference signal, are recovered and demodulated by determining the most likely signal constellation points transmitted by the base station 304. These soft decisions may be based on channel estimates computed by a channel estimator. The soft decisions are then decoded and de-interleaved to recover the data and control signals that were originally transmitted by the base station 304 on the physical channel. The data and control signals are then provided to the one or more processors 332, which implements Layer-3 (L3) and Layer-2 (L2) functionality.

In the uplink, the one or more processors 332 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, and control signal processing to recover IP packets from the core network. The one or more processors 332 are also responsible for error detection.

Similar to the functionality described in connection with the downlink transmission by the base station 304, the one or more processors 332 provides RRC layer functionality associated with system information (e.g., MIB, SIBs) acquisition, RRC connections, and measurement reporting; PDCP layer functionality associated with header compression/decompression, and security (ciphering, deciphering, integrity protection, integrity verification); RLC layer functionality associated with the transfer of upper layer PDUs, error correction through ARQ, concatenation, segmentation, and reassembly of RLC SDUs, re-segmentation of RLC data PDUs, and reordering of RLC data PDUs; and MAC layer functionality associated with mapping between logical channels and transport channels, multiplexing of MAC SDUs onto transport blocks (TBs), demultiplexing of MAC SDUs from TBs, scheduling information reporting, error correction through hybrid automatic repeat request (HARQ), priority handling, and logical channel prioritization.

Channel estimates derived by the channel estimator from a reference signal or feedback transmitted by the base station 304 may be used by the transmitter 314 to select the appropriate coding and modulation schemes, and to facilitate spatial processing. The spatial streams generated by the transmitter 314 may be provided to different antenna(s) 316. The transmitter 314 may modulate an RF carrier with a respective spatial stream for transmission.

The uplink transmission is processed at the base station 304 in a manner similar to that described in connection with the receiver function at the UE 302. The receiver 352 receives a signal through its respective antenna(s) 356. The receiver 352 recovers information modulated onto an RF carrier and provides the information to the one or more processors 384.

In the uplink, the one or more processors 384 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover IP packets from the UE 302. IP packets from the one or more processors 384 may be provided to the core network. The one or more processors 384 are also responsible for error detection.

For convenience, the UE 302, the base station 304, and/or the network entity 306 are shown in FIGS. 3A, 3B, and 3C as including various components that may be configured according to the various examples described herein. It will be appreciated, however, that the illustrated components may have different functionality in different designs. In particular, various components in FIGS. 3A to 3C are optional in alternative configurations and the various aspects include configurations that may vary due to design choice, costs, use of the device, or other considerations. For example, in case of FIG. 3A, a particular implementation of UE 302 may omit the WWAN transceiver(s) 310 (e.g., a wearable device or tablet computer or PC or laptop may have Wi-Fi and/or Bluetooth capability without cellular capability), or may omit the short-range wireless transceiver(s) 320 (e.g., cellular-only, etc.), or may omit the satellite signal receiver 330, or may omit the sensor(s) 344, and so on. In another example, in case of FIG. 3B, a particular implementation of the base station 304 may omit the WWAN transceiver(s) 350 (e.g., a Wi-Fi “hotspot” access point without cellular capability), or may omit the short-range wireless transceiver(s) 360 (e.g., cellular-only, etc.), or may omit the satellite receiver 370, and so on. For brevity, illustration of the various alternative configurations is not provided herein, but would be readily understandable to one skilled in the art.

The various components of the UE 302, the base station 304, and the network entity 306 may be communicatively coupled to each other over data buses 334, 382, and 392, respectively. In an aspect, the data buses 334, 382, and 392 may form, or be part of, a communication interface of the UE 302, the base station 304, and the network entity 306, respectively. For example, where different logical entities are embodied in the same device (e.g., gNB and location server functionality incorporated into the same base station 304), the data buses 334, 382, and 392 may provide communication between them.

The components of FIGS. 3A, 3B, and 3C may be implemented in various ways. In some implementations, the components of FIGS. 3A, 3B, and 3C may be implemented in one or more circuits such as, for example, one or more processors and/or one or more ASICs (which may include one or more processors). Here, each circuit may use and/or incorporate at least one memory component for storing information or executable code used by the circuit to provide this functionality. For example, some or all of the functionality represented by blocks 310 to 346 may be implemented by processor and memory component(s) of the UE 302 (e.g., by execution of appropriate code and/or by appropriate configuration of processor components). Similarly, some or all of the functionality represented by blocks 350 to 388 may be implemented by processor and memory component(s) of the base station 304 (e.g., by execution of appropriate code and/or by appropriate configuration of processor components). Also, some or all of the functionality represented by blocks 390 to 398 may be implemented by processor and memory component(s) of the network entity 306 (e.g., by execution of appropriate code and/or by appropriate configuration of processor components). For simplicity, various operations, acts, and/or functions are described herein as being performed “by a UE,” “by a base station,” “by a network entity,” etc. However, as will be appreciated, such operations, acts, and/or functions may actually be performed by specific components or combinations of components of the UE 302, base station 304, network entity 306, etc., such as the processors 332, 384, 394, the transceivers 310, 320, 350, and 360, the memories 340, 386, and 396, the sensing component 342, 388, and 398, etc.

In some designs, the network entity 306 may be implemented as a core network component. In other designs, the network entity 306 may be distinct from a network operator or operation of the cellular network infrastructure (e.g., NG RAN 220 and/or 5GC 210/260). For example, the network entity 306 may be a component of a private network that may be configured to communicate with the UE 302 via the base station 304 or independently from the base station 304 (e.g., over a non-cellular communication link, such as Wi-Fi).

5G NR communication devices (e.g., UEs, gNBs, etc.) may use mmW frequency bands to transmit and receive data. In the United States, the FCC limits the maximum power density exposure of electromagnetic waves on human tissues. One metric used to indicate maximum power density exposure requirements is maximum permissible exposure (MPE), which is the maximum exposure of electromagnetic waves that can incur to a human body. MPE is an important constraint for mmW transmissions from 5G UEs due to the highly directional beams utilized in 5G.

If a 5G UE knows that there is no human near the UE, the UE could transmit at maximum power for a 100% uplink duty cycle. Otherwise, based on the distance to the human, the UE could decrease the transmit power. As such, a mechanism to enable a 5G UE to detect the presence and location of a human could permit the UE to transmit at a higher power when no humans are nearby, resulting in a higher average transmit power for the UE. A higher average transmit power can increase the cell coverage (because the base station and UE can use a higher transmit power, and therefore communicate over farther distances) and/or the uplink throughput of the UE.

The present disclosure provides various techniques for low power and reliable close object detection to facilitate beamforming and transmit power control for mmW signals. There are various implementation methods utilizing various communication components and sensors to facilitate MPE operations.

As a first technique, Wi-Fi radar, operating at different bandwidths, can be used for human detection. 5G UEs are generally equipped with Wi-Fi capability (e.g., short-range wireless transceiver(s) 320), so there is no additional hardware cost to enabling Wi-Fi radar operation. Wi-Fi radar can reduce the latency of MPE operations by detecting the presence of a human and its motion in advance so that the mmW uplink transmitter (e.g., WWAN transceiver(s) 310) can reduce power or avoid certain directions in beamforming.

Wi-Fi radar can be used to simply detect the presence of reflected signals and their direction, or to capture channel state information (CSI) using a single Wi-Fi radio (but potentially multiple antennas) to detect a human's proximity, movement, and head location. Low-resolution, medium-resolution, and high-resolution Wi-Fi radar can all be used for this detection.

If a UE is equipped with a 60 GHz IEEE 802.11ad radio, the human detection can use 802.11ad mmW Radar Object Recognition. IEEE 802.11ad was developed to provide a multiple gigabit wireless system (MGWS) standard at 60 GHz frequency. The range of IEEE 802.11ad communication is limited (just a few meters) compared to other Wi-Fi systems, but the high frequency allows it to use more bandwidth, which in turn enables the transmission of data at high data rates, up to multiple gigabits per second.

In this case, lower frequency Wi-Fi radar (e.g., 5 gigahertz (GHz) and below) can detect the presence of an object, and the rough direction of the detected object provides a reduced range for the high frequency Wi-Fi radar to search. Identifying an object as a human may utilize the identification of liveliness or movement of the object. More specifically, humans are almost never completely stationary, so a human's liveliness or movement will result in small changes in the distance from the human to the Wi-Fi transceiver.

In various aspects, lidar may be used as an alternative to Wi-Fi radar. Lidar is a method for determining ranges by targeting an object with a laser and measuring the time for the reflected light to return to the receiver. There are two types of lidar currently in use in 5G UEs: scanner type lidar and flash type lidar (also referred to as a time of flight (ToF) sensor). Initial use cases for lidar in UEs include augmented reality (AR) and camera assistance, such as bokeh assistance. Whichever type of lidar is used (scanner type or flash type), infrared light is preferred to avoid annoying the user.

Lidar provides high enough resolution to identify a human's head and head orientation. Both types of lidar could be used for MPE assistance. Resolution, object detection, time, and power consumption may be factors to consider regarding whether lidar detection is a complete alternative to Wi-Fi radar or only an alternative to medium and high-resolution Wi-Fi radars.

When using lidar for human detection, the rough direction to an object may be provided by Wi-Fi sensing or by camera images. Lidar could then be used to identify an object as a human by utilizing the identification of liveliness or movement. Specifically, liveliness or movement of the human will result in small changes in the distance from the human to the lidar transceiver.

In various aspects, a UE's cameras could be used as an alternative to the medium and/or high-resolution Wi-Fi radar. Camera operations may be triggered after object detection by low-resolution Wi-Fi radar to save power. When there are cameras on both sides of the UE (as for a typical smartphone), the low-resolution Wi-Fi radar can provide information on whether the front or back side cameras should be activated. The face detection and/or human eye detection algorithms can be used to identify a human's head, head orientation, and eyes (if desired). In addition, liveliness or movement of the human can be identified in camera images.

In various aspects, to reduce power consumption, Wi-Fi radar can be switched off when the UE is in a network idle state (e.g., an RRC idle or inactive state). The system would start up with low-power, low-resolution Wi-Fi radar operation that runs in the background and senses the environment. Low-resolution Wi-Fi radar transmits Wi-Fi radar signals at a low bandwidth (e.g., below some bandwidth threshold) with wide (low resolution) beams (e.g., a beamwidth wider than some beamwidth threshold) and at large intervals (e.g., above some interval threshold) to provide coarse detection of objects in proximity to the Wi-Fi transceiver. This operation could be triggered by an event, such as 5G sub-6 GHz activation for user communication (e.g., RRC connection establishment).

If mmW usage is likely, based on information from the 5G system in the UE, the Wi-Fi radar system will switch to medium-resolution Wi-Fi radar operation, where CSI is captured at a medium bandwidth (e.g., above some first bandwidth threshold and below some second bandwidth threshold) with medium-resolution beams (e.g., a beamwidth wider than some first beamwidth threshold and narrower than some second beamwidth threshold) and at medium intervals (e.g., above some first interval threshold and below some second interval threshold). Medium-resolution Wi-Fi radar operation can be used to identify the location (e.g., angle and distance) and dimensions of target objects. The goal is to identify humans in the vicinity of the UE.

If a human-likely object is detected, then high-resolution Wi-Fi radar operation can be triggered, where CSI is captured at a high bandwidth with a large number of spatial streams (or narrow/high resolution beams) and at short intervals. High-resolution Wi-Fi radar operation can be used to locate sensitive human body parts, such as the human's head.

In various aspects, if a UE is equipped with a 60 GHz 802.11ad radio, then 802.11ad mmW radar can be used to perform narrow beam sweeping to obtain rich time of flight and phase measurements at different angles, which can then be used to accurately identify sensitive human body parts, such as the human's head. It has been shown that mmW radar facial recognition can achieve lower than a 1 in 100,000 false detection rate more than 99% of the time, so this mechanism provides ample resolution for MPE operations. mmW radar facial recognition is not affected by intense direct sunlight. It can also work well with IR-blocking glasses.

It is important to measure the distance between the UE and the user's head for the purpose of adjusting transmit power and beamforming angle. Distance measurements can be performed by the various detection methods. For Wi-Fi radar, CSI measurements, or received signal strength indication (RSSI) type measurements, can provide a rough estimate of the distance. Timing measurements, however, can provide much more accurate measurements. For lidar, the distance measurement is a built-in feature of lidar through its timing measurements. For camera detections, information from the auto-focus feature can be used for distance measurements utilizing a single lens. If multiple lenses are used, the distance measurement may be more accurate.

Distance measurements with time can be used to determine whether the identified object is a human. Human movement or liveliness leads to changes in the measured distance between the detecting sensor (e.g., Wi-Fi transceiver, lidar, camera) and the human. Low-resolution Wi-Fi radar signals may only be able to detect human movement. Liveliness detection may need high bandwidth and high carrier-frequency radar with good spatial and time resolution, or lidar.

If a human is identified by the medium-resolution Wi-Fi radar, or lidar, or cameras, the transmission power and beam forming direction can be adjusted. For example, the beamforming direction can be changed to avoid the human. If the beamforming direction cannot be changed, then the transmission power can be reduced. This may be applied to coarse beamforming in mmW.

mmW beamforming can be further refined based on the high-resolution radar or lidar or camera information. This may be applied to fine beamforming in mmW. High-resolution radar, lidar, and/or cameras can be used to detect especially sensitive areas, such as eyes, so that mmW transmission can avoid direct beamforming into those areas.

FIG. 4 illustrates an example method 400 of operating a Wi-Fi radar for human detection and MPE operation, according to aspects of the disclosure. The method 400 may be performed by any UE capable of mmW communication. At 410, the UE detects that 5G mmW communication has been activated. The UE therefore operates the Wi-Fi radar at a low bandwidth (BW) with a low number of spatial streams (NSS) (or wide/low resolution beams) and at large intervals to provide coarse detection of objects in proximity to the Wi-Fi transceiver.

At 420, the UE determines whether a human-likely object is nearby. If not, then at 430, the UE continues scanning using a low bandwidth, a low number of spatial streams (or wide/low resolution beams), and large intervals. If an object that is likely a human is detected, however, then the UE switches the Wi-Fi radar system to a medium bandwidth, a medium number of spatial streams (or medium beamwidth/medium resolution beams), and medium intervals.

At 440, the UE determines if the human-likely object is indeed a human. If it is not, then at 450, the UE continues scanning using a medium bandwidth, a medium number of spatial streams (or medium beamwidth/medium resolution beams), and medium intervals. If a human is detected, however, then the UE switches the Wi-Fi radar system to a high bandwidth (e.g., above some bandwidth threshold), narrow (high resolution) beams (e.g., a beamwidth narrower than some beamwidth threshold), and short intervals (e.g., below some interval threshold).

At 460, the UE determines whether a sensitive body part (e.g., the human's head) has been identified. If one has not, then at 470, the UE continues scanning using a high bandwidth, a high number of spatial streams (or narrow/high resolution beams), and short intervals. If a sensitive body part is detected, however, then at 480, the UE triggers MPE protective measures. For example, the UE may reduce the transmit power of its mmW transceiver (e.g., WWAN transceiver 310), reduce uplink data rates, change the uplink beamforming direction, reduce the duration of high-power transmission, or shut down the transmission periodically.

Augmented reality (AR) and virtual reality (VR) headsets may be an important use case for 5G mmW communications. The mmW transmitter may be on the headset, on the body of the wearer, somewhere in the same room, and/or on a high power base station far away. In such cases, the mmW transmitter(s) should steer their beams away from the wearer's face. The human head detection and head orientation detection mechanisms discussed above can be adapted to detect the human's face and steer the beam away from it.

FIG. 5 illustrates an example method 500 of wireless communication, according to aspects of the disclosure. In an aspect, method 500 may be performed by a UE (e.g., any of the UEs described herein).

At 510, the UE detects an object and a direction to the object in an environment of the UE. In an aspect, operation 510 may be performed by the one or more short-range wireless transceivers 320, the one or more processors 332, memory 340, and/or sensing component 342, any or all of which may be considered means for performing this operation.

At 520, the UE determines whether the object is a human. In an aspect, operation 520 may be performed by the one or more short-range wireless transceivers 320, the one or more processors 332, memory 340, and/or sensing component 342, any or all of which may be considered means for performing this operation.

At 530, the UE identifies, based on the object being the human, a sensitive body part of the human. In an aspect, operation 530 may be performed by the one or more short-range wireless transceivers 320, the one or more processors 332, memory 340, and/or sensing component 342, any or all of which may be considered means for performing this operation.

At 540, the UE performs, based on identification of the sensitive body part, an MPE mitigation operation. In an aspect, operation 540 may be performed by the one or more short-range wireless transceivers 320, the one or more processors 332, memory 340, and/or sensing component 342, any or all of which may be considered means for performing this operation.

As will be appreciated, technical advantages of the method 500 include improved MPE mitigation with low power operation, MPE mitigation only triggered with human body presence (thereby minimizing communication performance impact), and protection of sensitive body parts.

In the detailed description above it can be seen that different features are grouped together in examples. This manner of disclosure should not be understood as an intention that the example clauses have more features than are explicitly mentioned in each clause. Rather, the various aspects of the disclosure may include fewer than all features of an individual example clause disclosed. Therefore, the following clauses should hereby be deemed to be incorporated in the description, wherein each clause by itself can stand as a separate example. Although each dependent clause can refer in the clauses to a specific combination with one of the other clauses, the aspect(s) of that dependent clause are not limited to the specific combination. It will be appreciated that other example clauses can also include a combination of the dependent clause aspect(s) with the subject matter of any other dependent clause or independent clause or a combination of any feature with other dependent and independent clauses. The various aspects disclosed herein expressly include these combinations, unless it is explicitly expressed or can be readily inferred that a specific combination is not intended (e.g., contradictory aspects, such as defining an element as both an insulator and a conductor). Furthermore, it is also intended that aspects of a clause can be included in any other independent clause, even if the clause is not directly dependent on the independent clause.

Implementation examples are described in the following numbered clauses:

Clause 1. A method of wireless sensing performed by a user equipment (UE), comprising: detecting an object and a direction to the object in an environment of the UE; determining whether the object is a human; identifying, based on the object being the human, a sensitive body part of the human; and performing, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

Clause 2. The method of clause 1, wherein detecting the object and the direction comprises: causing a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.

Clause 3. The method of clause 2, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.

Clause 4. The method of any of clauses 1 to 3, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.

Clause 5. The method of any of clauses 1 to 4, wherein determining whether the object is the human comprises: detecting liveliness, movement, or both of the object.

Clause 6. The method of any of clauses 1 to 5, wherein determining whether the object is the human comprises: causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.

Clause 7. The method of any of clauses 1 to 6, wherein determining whether the object is the human comprises: causing a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 8. The method of any of clauses 1 to 7, wherein determining whether the object is the human comprises: capturing, by one or more cameras of the UE, one or more images of the object; and performing object detection on the one or more images to determine whether the object is the human.

Clause 9. The method of clause 8, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.

Clause 10. The method of any of clauses 1 to 9, wherein determining whether the object is the human comprises: causing a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.

Clause 11. The method of any of clauses 1 to 10, wherein identifying the sensitive body part comprises: causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.

Clause 12. The method of any of clauses 1 to 11, wherein identifying the sensitive body part comprises: causing a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 13. The method of any of clauses 1 to 12, wherein identifying the sensitive body part comprises: causing one or more cameras of the UE to capture one or more images of the object; and performing object detection on the one or more images to identify the sensitive body part.

Clause 14. The method of any of clauses 1 to 13, wherein the sensitive body part comprises: a head, a face, or eyes.

Clause 15. The method of any of clauses 1 to 14, wherein performing the MPE mitigation operation comprises: changing a transmit beamforming direction to avoid the sensitive body part, reducing a transmission power of the UE, or any combination thereof.

Clause 16. The method of any of clauses 1 to 15, wherein the UE is an augmented reality or virtual reality headset.

Clause 17. A user equipment (UE), comprising: a memory; at least one transceiver; and at least one processor communicatively coupled to the memory and the at least one transceiver, the at least one processor configured to: detect an object and a direction to the object in an environment of the UE; determine whether the object is a human; identify, based on the object being the human, a sensitive body part of the human; and perform, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

Clause 18. The UE of clause 17, wherein the at least one processor configured to detect the object and the direction comprises the at least one processor configured to: cause a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.

Clause 19. The UE of clause 18, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.

Clause 20. The UE of any of clauses 17 to 19, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.

Clause 21. The UE of any of clauses 17 to 20, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: detect liveliness, movement, or both of the object.

Clause 22. The UE of any of clauses 17 to 21, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: cause a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.

Clause 23. The UE of any of clauses 17 to 22, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: cause a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 24. The UE of any of clauses 17 to 23, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: capture, by one or more cameras of the UE, one or more images of the object; and perform object detection on the one or more images to determine whether the object is the human.

Clause 25. The UE of clause 24, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.

Clause 26. The UE of any of clauses 17 to 25, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: cause a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.

Clause 27. The UE of any of clauses 17 to 26, wherein the at least one processor configured to identify the sensitive body part comprises the at least one processor configured to: cause a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.

Clause 28. The UE of any of clauses 17 to 27, wherein the at least one processor configured to identify the sensitive body part comprises the at least one processor configured to: cause a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 29. The UE of any of clauses 17 to 28, wherein the at least one processor configured to identify the sensitive body part comprises the at least one processor configured to: cause one or more cameras of the UE to capture one or more images of the object; and perform object detection on the one or more images to identify the sensitive body part.

Clause 30. The UE of any of clauses 17 to 29, wherein the sensitive body part comprises: a head, a face, or eyes.

Clause 31. The UE of any of clauses 17 to 30, wherein the at least one processor configured to perform the MPE mitigation operation comprises the at least one processor configured to: change a transmit beamforming direction to avoid the sensitive body part, reduce a transmission power of the UE, or any combination thereof.

Clause 32. The UE of any of clauses 17 to 31, wherein the UE is an augmented reality or virtual reality headset.

Clause 33. A user equipment (UE), comprising: means for detecting an object and a direction to the object in an environment of the UE; means for determining whether the object is a human; means for identifying, based on the object being the human, a sensitive body part of the human; and means for performing, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

Clause 34. The UE of clause 33, wherein the means for detecting the object and the direction comprises: means for causing a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.

Clause 35. The UE of clause 34, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.

Clause 36. The UE of any of clauses 33 to 35, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.

Clause 37. The UE of any of clauses 33 to 36, wherein the means for determining whether the object is the human comprises: means for detecting liveliness, movement, or both of the object.

Clause 38. The UE of any of clauses 33 to 37, wherein the means for determining whether the object is the human comprises: means for causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.

Clause 39. The UE of any of clauses 33 to 38, wherein the means for determining whether the object is the human comprises: means for causing a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 40. The UE of any of clauses 33 to 39, wherein the means for determining whether the object is the human comprises: means for capturing, by one or more cameras of the UE, one or more images of the object; and means for performing object detection on the one or more images to determine whether the object is the human.

Clause 41. The UE of clause 40, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.

Clause 42. The UE of any of clauses 33 to 41, wherein the means for determining whether the object is the human comprises: means for causing a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.

Clause 43. The UE of any of clauses 33 to 42, wherein the means for identifying the sensitive body part comprises: means for causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.

Clause 44. The UE of any of clauses 33 to 43, wherein the means for identifying the sensitive body part comprises: means for causing a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 45. The UE of any of clauses 33 to 44, wherein the means for identifying the sensitive body part comprises: means for causing one or more cameras of the UE to capture one or more images of the object; and means for performing object detection on the one or more images to identify the sensitive body part.

Clause 46. The UE of any of clauses 33 to 45, wherein the sensitive body part comprises:

a head, a face, or eyes.

Clause 47. The UE of any of clauses 33 to 46, wherein the means for performing the MPE mitigation operation comprises: means for changing a transmit beamforming direction to avoid the sensitive body part, means for reducing a transmission power of the UE, or any combination thereof.

Clause 48. The UE of any of clauses 33 to 47, wherein the UE is an augmented reality or virtual reality headset.

Clause 49. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a user equipment (UE), cause the UE to: detect an object and a direction to the object in an environment of the UE; determine whether the object is a human; identify, based on the object being the human, a sensitive body part of the human; and perform, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

Clause 50. The non-transitory computer-readable medium of clause 49, wherein the computer-executable instructions that, when executed by the UE, cause the UE to detect the object and the direction comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.

Clause 51. The non-transitory computer-readable medium of clause 50, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.

Clause 52. The non-transitory computer-readable medium of any of clauses 49 to 51, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.

Clause 53. The non-transitory computer-readable medium of any of clauses 49 to 52, wherein the computer-executable instructions that, when executed by the UE, cause the UE to determine whether the object is the human comprise computer-executable instructions that, when executed by the UE, cause the UE to: detect liveliness, movement, or both of the object.

Clause 54. The non-transitory computer-readable medium of any of clauses 49 to 53, wherein the computer-executable instructions that, when executed by the UE, cause the UE to determine whether the object is the human comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.

Clause 55. The non-transitory computer-readable medium of any of clauses 49 to 54, wherein the computer-executable instructions that, when executed by the UE, cause the UE to determine whether the object is the human comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 56. The non-transitory computer-readable medium of any of clauses 49 to 55, wherein the computer-executable instructions that, when executed by the UE, cause the UE to determine whether the object is the human comprise computer-executable instructions that, when executed by the UE, cause the UE to: capture, by one or more cameras of the UE, one or more images of the object; and perform object detection on the one or more images to determine whether the object is the human.

Clause 57. The non-transitory computer-readable medium of clause 56, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.

Clause 58. The non-transitory computer-readable medium of any of clauses 49 to 57, wherein the computer-executable instructions that, when executed by the UE, cause the UE to determine whether the object is the human comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.

Clause 59. The non-transitory computer-readable medium of any of clauses 49 to 58, wherein the computer-executable instructions that, when executed by the UE, cause the UE to identify the sensitive body part comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.

Clause 60. The non-transitory computer-readable medium of any of clauses 49 to 59, wherein the computer-executable instructions that, when executed by the UE, cause the UE to identify the sensitive body part comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause a lidar system of the UE to transmit lidar signals in the direction to the object.

Clause 61. The non-transitory computer-readable medium of any of clauses 49 to 60, wherein the computer-executable instructions that, when executed by the UE, cause the UE to identify the sensitive body part comprise computer-executable instructions that, when executed by the UE, cause the UE to: cause one or more cameras of the UE to capture one or more images of the object; and perform object detection on the one or more images to identify the sensitive body part.

Clause 62. The non-transitory computer-readable medium of any of clauses 49 to 61, wherein the sensitive body part comprises: a head, a face, or eyes.

Clause 63. The non-transitory computer-readable medium of any of clauses 49 to 62, wherein the computer-executable instructions that, when executed by the UE, cause the UE to perform the MPE mitigation operation comprise computer-executable instructions that, when executed by the UE, cause the UE to: change a transmit beamforming direction to avoid the sensitive body part, reduce a transmission power of the UE, or any combination thereof.

Clause 64. The non-transitory computer-readable medium of any of clauses 49 to 63, wherein the UE is an augmented reality or virtual reality headset.

Those of skill in the art will appreciate that information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

Further, those of skill in the art will appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the aspects disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

The various illustrative logical blocks, modules, and circuits described in connection with the aspects disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an ASIC, a field-programable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, for example, a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

The methods, sequences and/or algorithms described in connection with the aspects disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in random access memory (RAM), flash memory, read-only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An example storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal (e.g., UE). In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

In one or more example aspects, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

While the foregoing disclosure shows illustrative aspects of the disclosure, it should be noted that various changes and modifications could be made herein without departing from the scope of the disclosure as defined by the appended claims. The functions, steps and/or actions of the method claims in accordance with the aspects of the disclosure described herein need not be performed in any particular order. Furthermore, although elements of the disclosure may be described or claimed in the singular, the plural is contemplated unless limitation to the singular is explicitly stated. 

What is claimed is:
 1. A method of wireless sensing performed by a user equipment (UE), comprising: detecting an object and a direction to the object in an environment of the UE; determining whether the object is a human; identifying, based on the object being the human, a sensitive body part of the human; and performing, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.
 2. The method of claim 1, wherein detecting the object and the direction comprises: causing a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.
 3. The method of claim 2, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.
 4. The method of claim 1, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.
 5. The method of claim 1, wherein determining whether the object is the human comprises: detecting liveliness, movement, or both of the object.
 6. The method of claim 1, wherein determining whether the object is the human comprises: causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.
 7. The method of claim 1, wherein determining whether the object is the human comprises: causing a lidar system of the UE to transmit lidar signals in the direction to the object.
 8. The method of claim 1, wherein determining whether the object is the human comprises: capturing, by one or more cameras of the UE, one or more images of the object; and performing object detection on the one or more images to determine whether the object is the human.
 9. The method of claim 8, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.
 10. The method of claim 1, wherein determining whether the object is the human comprises: causing a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.
 11. The method of claim 1, wherein identifying the sensitive body part comprises: causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.
 12. The method of claim 1, wherein identifying the sensitive body part comprises: causing a lidar system of the UE to transmit lidar signals in the direction to the object.
 13. The method of claim 1, wherein identifying the sensitive body part comprises: causing one or more cameras of the UE to capture one or more images of the object; and performing object detection on the one or more images to identify the sensitive body part.
 14. The method of claim 1, wherein the sensitive body part comprises: a head, a face, or eyes.
 15. The method of claim 1, wherein performing the MPE mitigation operation comprises: changing a transmit beamforming direction to avoid the sensitive body part, reducing a transmission power of the UE, or any combination thereof.
 16. The method of claim 1, wherein the UE is an augmented reality or virtual reality headset.
 17. A user equipment (UE), comprising: a memory; at least one transceiver; and at least one processor communicatively coupled to the memory and the at least one transceiver, the at least one processor configured to: detect an object and a direction to the object in an environment of the UE; determine whether the object is a human; identify, based on the object being the human, a sensitive body part of the human; and perform, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.
 18. The UE of claim 17, wherein the at least one processor configured to detect the object and the direction comprises the at least one processor configured to: cause a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.
 19. The UE of claim 18, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.
 20. The UE of claim 17, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.
 21. The UE of claim 17, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: detect liveliness, movement, or both of the object.
 22. The UE of claim 17, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: cause a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.
 23. The UE of claim 17, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: cause a lidar system of the UE to transmit lidar signals in the direction to the object.
 24. The UE of claim 17, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: capture, by one or more cameras of the UE, one or more images of the object; and perform object detection on the one or more images to determine whether the object is the human.
 25. The UE of claim 24, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.
 26. The UE of claim 17, wherein the at least one processor configured to determine whether the object is the human comprises the at least one processor configured to: cause a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.
 27. The UE of claim 17, wherein the at least one processor configured to identify the sensitive body part comprises the at least one processor configured to: cause a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.
 28. The UE of claim 17, wherein the at least one processor configured to identify the sensitive body part comprises the at least one processor configured to: cause a lidar system of the UE to transmit lidar signals in the direction to the object.
 29. The UE of claim 17, wherein the at least one processor configured to identify the sensitive body part comprises the at least one processor configured to: cause one or more cameras of the UE to capture one or more images of the object; and perform object detection on the one or more images to identify the sensitive body part.
 30. The UE of claim 17, wherein the sensitive body part comprises: a head, a face, or eyes.
 31. The UE of claim 17, wherein the at least one processor configured to perform the MPE mitigation operation comprises the at least one processor configured to: change a transmit beamforming direction to avoid the sensitive body part, reduce a transmission power of the UE, or any combination thereof.
 32. The UE of claim 17, wherein the UE is an augmented reality or virtual reality headset.
 33. A user equipment (UE), comprising: means for detecting an object and a direction to the object in an environment of the UE; means for determining whether the object is a human; means for identifying, based on the object being the human, a sensitive body part of the human; and means for performing, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.
 34. The UE of claim 33, wherein the means for detecting the object and the direction comprises: means for causing a wireless local area network (WLAN) radar of the UE to transmit WLAN signals having a bandwidth below a bandwidth threshold, a beamwidth wider than a beamwidth threshold, and an interval above an interval threshold.
 35. The UE of claim 34, wherein the WLAN signals are transmitted in response to detection of a radio resource control (RRC) connection establishment.
 36. The UE of claim 33, wherein the direction to the object is determined based on one or more images captured by one or more cameras of the UE.
 37. The UE of claim 33, wherein the means for determining whether the object is the human comprises: means for detecting liveliness, movement, or both of the object.
 38. The UE of claim 33, wherein the means for determining whether the object is the human comprises: means for causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a first bandwidth threshold and below a second bandwidth threshold, a beamwidth wider than a first beamwidth threshold and narrower than a second beamwidth threshold, and an interval above a first interval threshold and below a second interval threshold.
 39. The UE of claim 33, wherein the means for determining whether the object is the human comprises: means for causing a lidar system of the UE to transmit lidar signals in the direction to the object.
 40. The UE of claim 33, wherein the means for determining whether the object is the human comprises: means for capturing, by one or more cameras of the UE, one or more images of the object; and means for performing object detection on the one or more images to determine whether the object is the human.
 41. The UE of claim 40, wherein: the one or more cameras comprise at least one front-facing camera and at least one rear-facing camera, and the at least one front-facing camera or the at least one rear-facing camera is used to capture the one or more images based on the direction to the object.
 42. The UE of claim 33, wherein the means for determining whether the object is the human comprises: means for causing a 60 gigahertz (GHz) radio of the UE to transmit 60 GHz signals in the direction to the object.
 43. The UE of claim 33, wherein the means for identifying the sensitive body part comprises: means for causing a WLAN radar of the UE to transmit WLAN signals having a bandwidth above a bandwidth threshold, a beamwidth narrower than a beamwidth threshold, and an interval below an interval threshold.
 44. The UE of claim 33, wherein the means for identifying the sensitive body part comprises: means for causing a lidar system of the UE to transmit lidar signals in the direction to the object.
 45. The UE of claim 33, wherein the means for identifying the sensitive body part comprises: means for causing one or more cameras of the UE to capture one or more images of the object; and means for performing object detection on the one or more images to identify the sensitive body part.
 46. The UE of claim 33, wherein the sensitive body part comprises: a head, a face, or eyes.
 47. The UE of claim 33, wherein the means for performing the MPE mitigation operation comprises: means for changing a transmit beamforming direction to avoid the sensitive body part, means for reducing a transmission power of the UE, or any combination thereof.
 48. The UE of claim 33, wherein the UE is an augmented reality or virtual reality headset.
 49. A non-transitory computer-readable medium storing computer-executable instructions that, when executed by a user equipment (UE), cause the UE to: detect an object and a direction to the object in an environment of the UE; determine whether the object is a human; identify, based on the object being the human, a sensitive body part of the human; and perform, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.
 50. The non-transitory computer-readable medium of claim 49, wherein the computer-executable instructions that, when executed by the UE, cause the UE to perform the MPE mitigation operation comprise computer-executable instructions that, when executed by the UE, cause the UE to: change a transmit beamforming direction to avoid the sensitive body part, reduce a transmission power of the UE, or any combination thereof. 